Age-related disparities in diabetes risk attributable to modifiable risk factor profiles in Chinese adults: a nationwide, population-based, cohort study

医学 人口 糖尿病 环境卫生 队列研究 队列 人口学 风险因素 老年学 可归因风险 内科学 内分泌学 社会学
作者
Tiange Wang,Zhiyun Zhao,Guixia Wang,Qiang Li,Yu Xu,Mian Li,Ruying Hu,Gang Chen,Qing Su,Yiming Mu,Xulei Tang,Li Yan,Guijun Qin,Qin Wan,Zhengnan Gao,Xuefeng Yu,Feixia Shen,Zuojie Luo,Yingfen Qin,Li Chen,Yanan Huo,Tianshu Zeng,Lulu Chen,Zhen Ye,Shouxin Zhang,Chao Liu,Youmin Wang,Shengli Wu,Tao Yang,Huacong Deng,Jiajun Zhao,Lixin Shi,Yiping Xu,Min Xu,Yuhong Chen,Shuangyuan Wang,Jieli Lu,Yufang Bi,Guang Ning,Weiqing Wang
出处
期刊:The Lancet Healthy Longevity [Elsevier]
卷期号:2 (10): e618-e628 被引量:44
标识
DOI:10.1016/s2666-7568(21)00177-x
摘要

BackgroundNational investigations of age-specific modifiable risk profiles for diabetes are crucial to promote personalised strategies for the prevention and control of diabetes, particularly in countries such as China, which is experiencing both a diabetes epidemic and a rapidly ageing population. We aimed to examine the associations of 12 potentially modifiable socioeconomic, lifestyle, and metabolic risk factors with diabetes in a nationwide prospective cohort of Chinese adults across four age groups.MethodsWe analysed data from the China Cardiometabolic Disease and Cancer Cohort Study, a nationwide, population-based, cohort study done between Jan 1, 2011, and Dec 31, 2016. Among 93 781 participants without diabetes at baseline and with complete information available about risk factors and diabetes incidence, we examined the hazard ratios (HRs) and population-attributable risk percentages (PAR%s) of incident diabetes associated with 12 potentially modifiable risk factors: two socioeconomic risk factors (less education and intermediate or low grade occupation), five lifestyle risk factors (unhealthy diet, physical inactivity, current alcohol consumption, current smoking, and unhealthy sleep), and five metabolic risk factors (general or central obesity, insulin resistance, prediabetes, hypertension, and dyslipidaemia) across four age groups (40 to <55 years, 55 to <65 years, 65 to <75 years, and ≥75 years).FindingsWith 337 932 person-years' follow-up, 6171 participants developed diabetes. Although diabetes risk attributable to metabolic risk factors decreased slightly with age, metabolic risk factors accounted for most incident diabetes cases across all age groups (from a PAR% of 73·8% in participants aged 40 to <55 years to 65·5% in those aged ≥75 years), with prediabetes (ranging from a PAR% of 56·6% to 47·4%, with increasing age) and hypertension (PAR% of 16·8% to 28·6% with increasing age) being the leading risk factors across all age groups. By contrast, diabetes risk attributable to lifestyle risk factors increased substantially with age (with a PAR% of 9·9% in adults aged 40 to <55 years increasing to 29·7% in adults aged ≥75 years), and was especially evident in participants aged 75 years or older, in whom unhealthy sleep was the largest lifestyle factor, accounting for a PAR% of 17·0%. The impact of socioeconomic risk factors on diabetes was mainly driven by less education, which contributed to a PAR% of 7·1% to 12·4% in participants younger than 75 years but conferred no excess risk in participants aged 75 years or older. The risk of diabetes associated with unhealthy sleep significantly increased with age group (HR 1·04 [95% CI 0·95–1·13] among participants aged 40 to <55 years vs 1·36 [1·01–1·85] among participants aged ≥75 years; pinteraction=0·0054), but there was an age-related decrease in the risk of diabetes associated with obesity (1·35 [1·23–1·48] vs 0·99 [0·72–1·36]; pinteraction=0·0003), prediabetes (3·00 [2·67–3·37] vs 2·18 [1·41–3·37]; pinteraction=0·0014), and dyslipidaemia (1·23 [1·13–1·34] vs 0·90 [0·66–1·21]; pinteraction=0·016).InterpretationThese findings provide novel insights into age-related modifiable risk factor profiles for diabetes in Chinese adults, highlighting the importance of prioritising risk factors according to age groups for effective prevention and management of diabetes.FundingNational Natural Science Foundation of China.TranslationFor the Chinese translation of the abstract see Supplementary Materials section.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
明亮的安萱完成签到,获得积分10
刚刚
李热热完成签到,获得积分20
1秒前
1秒前
科研通AI6应助fxx采纳,获得10
1秒前
Jasper应助珊明治采纳,获得10
2秒前
2秒前
腼腆的缘分完成签到,获得积分10
3秒前
量子星尘发布了新的文献求助10
3秒前
小广完成签到,获得积分0
3秒前
Auxence完成签到,获得积分10
4秒前
星辰大海应助NZX采纳,获得10
4秒前
风清月莹发布了新的文献求助10
5秒前
111发布了新的文献求助10
7秒前
ss应助wangli采纳,获得10
7秒前
烟花应助xrr采纳,获得10
7秒前
7秒前
向钰林完成签到,获得积分10
7秒前
牧长一完成签到 ,获得积分0
7秒前
加速完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
9秒前
10秒前
研途顺利完成签到,获得积分20
11秒前
11秒前
我是老大应助Frank采纳,获得10
12秒前
郝韵完成签到,获得积分10
12秒前
苏打发布了新的文献求助10
13秒前
13秒前
13秒前
forever发布了新的文献求助10
13秒前
Foalphaz发布了新的文献求助10
14秒前
英吉利25发布了新的文献求助10
14秒前
小马甲应助li采纳,获得10
14秒前
14秒前
14秒前
Rose完成签到,获得积分10
15秒前
15秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
二氧化碳加氢催化剂——结构设计与反应机制研究 660
碳中和关键技术丛书--二氧化碳加氢 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5660897
求助须知:如何正确求助?哪些是违规求助? 4836059
关于积分的说明 15092345
捐赠科研通 4819501
什么是DOI,文献DOI怎么找? 2579320
邀请新用户注册赠送积分活动 1533794
关于科研通互助平台的介绍 1492586